Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: arm64: dts: qcom: x1e80100: Add GPU cooling Unlike the CPU, the GPU does not throttle its speed automatically when it reaches high temperatures. With certain high GPU loads, it is possible to reach the critical hardware shutdown...

Astra Linux - уязвимость в linux-5.10, linux

In the Linux kernel, the following vulnerabilities have been resolved: Thermal: Fix NULL pointer dereferencing in ofthermal functions. ofparsethermalzones parses the thermal-zone node and registers a thermalzone device for each subnode. However, if a thermal zone uses a thermal sensor, and that...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: Wifi: mt76: mt7996 – fixed a potential memory leak when reading chip temperature. Without this fix, reading chip temperature would cause memory leaks...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: iio: temperature: mlx90635: Fixed the dereference of ERRPTR in mlx90635probe. When devmregmapiniti2c fails, regmapee can be an error pointer. Instead of checking ISERRregmapee, regmap is checked, which seems like a copy-paste err...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: “ice”: fixed the devlink reload call trace. The commit 4da71a77fc3b “ice: read internal temperature sensor” introduced the use of the internal temperature sensor via HWMON. The functions icehwmoninit and icehwmonexit were added t...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerabilities have been resolved: Wifi: ath12k – Fixed issues with dfs-radar and temperature event locking. The ath12k active PDevs are protected by RCU, but the code responsible for handling DFS-radar and temperature events, which calls ath12kmacgetarbypdevid...

Involuntary In-Context Learning: Exploiting Few-Shot Pattern Completion to Bypass Safety Alignment in GPT-5.4

Safety alignment in large language models relies on behavioral training that can be overridden when sufficiently strong in-context patterns compete with learned refusal behaviors. We introduce Involuntary In-Context Learning IICL, an attack class that uses abstract operator framing with few-shot...

[SECURITY] Fedora 43 Update: domoticz-2026.1-1.fc43

Domoticz is a Home Automation System that lets you monitor and configure vari ous devices like: Lights, Switches, various sensors/meters like Temperature, Rain, Wind, UV, Electra, Gas, Water and much more. Notifications/Alerts can be sent to any mobile device...

EUVD-2026-18102

V-SFT versions 6.2.10.0 and prior contain an out-of-bounds read vulnerability in VS6MemInIF!settemptypedefault. Opening a crafted V7 file may lead to information disclosure from the affected product...

Linux Distros Unpatched Vulnerability : CVE-2026-23323

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In the Linux kernel, the following vulnerability has been resolved: hwmon: macsmc Fix regressions in Apple Silicon SMC hwmon driver The recently added...

SUSE CVE-2026-23323

In the Linux kernel, the following vulnerability has been resolved: hwmon: macsmc Fix regressions in Apple Silicon SMC hwmon driver The recently added macsmc-hwmon driver contained several critical bugs in its sensor population logic and float conversion routines. Specifically: - The voltage sens...

CVE-2026-23323

In the Linux kernel, the following vulnerability has been resolved: hwmon: macsmc Fix regressions in Apple Silicon SMC hwmon driver The recently added macsmc-hwmon driver contained several critical bugs in its sensor population logic and float conversion routines. Specifically: - The voltage sens...

CVE-2026-23323

In the Linux kernel, the following vulnerability has been resolved: hwmon: macsmc Fix regressions in Apple Silicon SMC hwmon driver The recently added macsmc-hwmon driver contained several critical bugs in its sensor population logic and float conversion routines. Specifically: - The voltage sens...

CVE-2026-23323

CVE-2026-23323 concerns the Linux kernel macsmc-hwmon driver on Apple Silicon. The issue stems from two concrete bugs: (1) sensor population logic using the wrong prefix (volt- vs voltage-) and mis-assigning sensors from the voltage array to the temperature array, risking out-of-bounds access or ...

CVE-2026-23323 hwmon: (macsmc) Fix regressions in Apple Silicon SMC hwmon driver

In the Linux kernel, the following vulnerability has been resolved: hwmon: macsmc Fix regressions in Apple Silicon SMC hwmon driver The recently added macsmc-hwmon driver contained several critical bugs in its sensor population logic and float conversion routines. Specifically: - The voltage sens...

PT-2026-25710

Global file reads caused by improper URL checks in webserver in Softing Industrial Automation GmbH smartLinks on docker filesystem modules allows file access. This issue affects smartLink SW-HT: through 1.42 smartLink SW-PN: through 1.03...

A Binary Classifier-Based Wire Resistance Attack on the KLJN Secure Key Exchanger

The statistical fluctuations of the mean-square noise voltages measured at Alice's and Bob's ends in the KLJN scheme are used to implement a binary classifier for a new type of wire resistance-based attack. The data are plotted on a two-dimensional graph, where the x- and y- axes represent the...

CVE-2026-23104

CVE-2026-23104 describes a Linux kernel ice driver issue where devlink reload can trigger a call trace due to mismatched cleanup of the internal hwmon state. The root cause is that ice_hwmon_init() is invoked during feature init and ice_hwmon_exit() was tied to ice_remove(), which could leave a d...

CVE-2019-16518

An issue was discovered on Swell Kit Mod devices that use the Vandy Vape platform. An attacker may be able to trigger an unintended temperature in the victim's mouth and throat via Bluetooth Low Energy BLE packets that specify large power or voltage values...

How Can We Effectively Use LLMs for Phishing Detection?: Evaluating the Effectiveness of Large Language Model-Based Phishing Detection Models

Large language models LLMs have emerged as a promising phishing detection mechanism, addressing the limitations of traditional deep learning-based detectors, including poor generalization to previously unseen websites and a lack of interpretability. However, LLMs' effectiveness for phishing...